Innovative Computing Vol 2 - Emerging Topics in Future Internet

Endogenous microbial oil recovery technology has attracted more attention because of its strong adaptability, good compatibility with reservoir and low cost. However, at present, the physical simulation experimental method of microbial oil displacement is quite different from the actual reservoir, and the evaluation method needs to be improved urgently. Therefore, this paper conducted a basic theoretical study on the influencing factors of endogenous microbial model experiment. The computer-aided simulation experiment of endogenous microbial oil displacement is a computer model that simulates the behavior of microorganisms in oil reservoirs. The purpose of this model is to study the effects of different conditions on microorganisms and petroleum hydrocarbons (oil). It can also be used to design remediation strategies for contaminated sites with high microbial activity and low dissolved organic carbon content.

Intelligent sensing capability is the key technology of building intelligent infrastructure. It can be used in many fields, such as smart cities, smart buildings and smart agriculture. Intelligent sensing capability is an artificial intelligence (AI) technology that can sense the real-time environment. It is widely used in safety, environmental protection, medical and other fields. This paper will use the fish swarm algorithm to detect the fish swarm on the construction site based on the intelligent sensing ability. The application of fish swarm algorithm in intelligent sensing capability is to detect the construction site based on the information received from different sensors. The main objective of the project is to improve and enhance the performance of intelligent perception through the use of artificial intelligence technology. It will be used to detect and track any type of motion on the construction site, which will help reduce human errors and improve efficiency.

With the promotion of the construction of the power Internet of things of State Grid Corporation of China, the company's business is developing towards lean and digital, and the range of data demand is expanding. The company requires the construction of enterprise data center to provide various data analysis services, and support the big data application of important business efficiently and flexibly. The data analysis service is based on the unified construction of data center, It provides service retrieval and view to users in Web mode, and provides data analysis service to external business system and business platform through unified data analysis service in data platform to support rapid construction of business analysis scenario application.

The basic idea of this model is to use the hierarchical structure of mathematics to develop teaching methods that can be used in all higher mathematics courses. The main goal is to provide students with good mathematical knowledge and skills, which is crucial to their future study. The project consists of two parts: (1) establish a preliminary computer-assisted learning environment; (2) Formulation and evaluation of new teaching methods based on hierarchical teaching model. This paper introduces the construction of such a model, which includes not only the content, but also the teaching method. In addition, it also describes how to use this new teaching model as the basis for further research on computer-assisted learning methods in higher mathematics courses.

In the 21st century, the Internet era is coming, and we are enjoying the great changes it has brought to our lives all the time. With the help of the Internet, all walks of life have realized the beautiful vision of resource sharing and cross-border integration. Dance, the body art, is also naturally bathed in the lucky spring breeze. Taking advantage of the development trend, insiders have responded to the banner of the times and moved towards the development avenue of “dance + Internet”. In this paper, building a folk dance resource database based on “Internet +” is the first step to create an Internet-based dance resource project. The goal of the project is to provide a comprehensive and up-to-date collection of information on dance, choreography and related topics. The database will be built using the resources available at ( www.folkdanceresource . www.folkdanceresource.org ) and other sources, such as the world wide web, printed books, magazines, periodicals and newspapers, are listed under “references”. However, it should be noted that there are some limitations in this regard.

Information technology and network technology are increasingly widely used in the field of teaching, and the idea of open teaching has become the core of modern teaching development. The teaching mode corresponding to the education system of using the Internet to carry out education and teaching has changed from teacher centered to student-centered. The system is a network teaching platform system using b/s structure, and the system is selected Net and SQL Server2005 are development environments. Starting from the characteristics of network teaching, through the investigation of network teaching platform, understand the business needs of the system. Using UML modeling technology, the system analysis is further elaborated.

The computer aided instruction (CAPE) system should be able to collect data from students, teachers and parents. The collected data should be analyzed and then used in the decision-making process. The analysis should include both quantitative and qualitative aspects. There is a need to develop clear guidelines for the design of such a system. As this is a new field in educational research, it will take us some time to find an ideal model to describe how such a system works. The computer-aided teaching evaluation model (tepcap) is a teaching framework for designing and implementing a computer-based learning system. It was developed by Professor John J. Meister of the University of Illinois at Urbana Champaign in the 1990s. It is an extension of his early computer-aided instruction (CAI) work. Since then, the tepcap framework has been widely used, especially in higher education and distance education environments.

The research of corpus translation style in the era of big data under data mining algorithm is to use big data to analyze the characteristics and changes of translation style. This study aims to achieve the following goals: to analyze how translation styles have changed in different periods from ancient times to the present; Study how translation style changes according to various factors such as age, gender and major; Investigate whether there are any differences between the translations of professional translators and non professional translators.. In this article, we will introduce two problems in dealing with big data: (1) big data analysis and (2) translation quality evaluation. We will discuss how to solve these problems by using machine learning algorithms such as neural networks and deep learning models.

In recent years, with the rapid development of computer information engineering technology and the continuous improvement of the management level of construction projects, it is possible to achieve multi-objective quantitative optimization of construction projects. The main content of project objective quantitative management is the comprehensive optimization of construction period and cost. Relatively reasonable determination of construction period can bring benefits to the project to a certain extent. This study is based on the genetic algorithm of construction cost optimization technology. The purpose of this study is to find out whether genetic algorithm can be used to design the optimal structure and solve the construction engineering problems. The main purpose of this paper is to study the possibility of using genetic algorithm to optimize the cost, time and labor of construction projects. It also aims to find out whether there are other methods to replace the use of genetic algorithms, so as to not only reduce but also minimize the cost, time and labor involved in the construction project. In addition, this work will attempt to.

Covariance estimation of hedge fund distribution replication model can help people identify relevant financial risks, so as to prevent and control them. In order to achieve this purpose, based on the hedge fund distribution replication model, this paper discusses the feasibility of AHP algorithm in model covariance estimation, and then introduces the algorithm implementation method. The research shows that AHP algorithm has obvious advantages in the covariance estimation of hedge fund distribution replication model, and accurate results can be obtained under reasonable application.

With the popularity of the Internet, it plays an increasingly important role in people’s lives. More and more people use the Internet to conduct online shopping, sales and other activities. Therefore, B2B e-commerce enterprises have shown a trend of vigorous development in China, and become one of the important fields of Internet information services in China. It has a considerable scale of transactions and users, and it continues to develop at a high speed. This paper studies the service quality evaluation system of cross-border B2B e-commerce websites, which can be used to evaluate the service quality of cross-border B2B e-commerce websites. The evaluation is based on a set of parameters, including user experience, product information and shopping experience. The results will be displayed in a table with corresponding scores for each parameter. Cross border B2B e-commerce websites are more and more popular with users because of their convenience and cost-effectiveness.

With the continuous penetration and integration of the Internet in the field of education, the availability of educational resources has been continuously improved, which has provided strong support for strengthening the construction of educational system resources. In the stage of rapid development of Internet technology, the coverage of wireless networks has continued to increase, and a large number of new Internet products have been born, which has provided a good boost for the networked development of educational products, and thus derived the Internet + education network online learning model. Cultural heritage is an important accumulation and basic source of contemporary cultural development and innovation in our country. In order to inherit cultural heritage and develop cultural undertakings, this paper has launched a cultural heritage online course learning system based on a Web platform. Any group who wants to understand national culture can enter platform for learning. With the support of information technology such as Web server and the Internet, the online courses of cultural heritage are developed, which can track students’ learning records, and teachers can send students’ learning information through text messages. Through the evaluation of the cultural heritage online curriculum design, some deficiencies in the curriculum design can be improved, and the curriculum design content such as cultural heritage teaching resources and teaching objectives can be more in line with the actual teaching.

In the reform of college foreign language education, it is often one of the focuses of discussion whether the college curriculum can make students fully prepared to cope with the challenges of learning, future life and career. This is mainly because some students still have low learning efficiency at the stage of higher education, rely on mechanical memory and recitation, and lack high-level thinking ability, especially the ability to solve practical problems. Deep learning algorithm is the latest research trend of English education data analysis. It has been widely used in computer vision, speech recognition and text processing. Deep learning algorithm is an artificial intelligence (AI) technology, which uses neural networks to achieve advanced cognition. It can be divided into two types: 1. Deep convolution network 2. Deep recursive network in this paper, we will mainly focus on using deep convolution network to analyze English data, and provide a method to improve the accuracy of its results by using its improved deep learning algorithm.

Navaid lighting system is an important visual navaid to ensure the flight safety of aircraft, and plays a key role in the process of aircraft approach and landing. The normal operation of the navaid lighting system is directly related to the safety of aircraft takeoff and landing, so it must always work normally. With the rapid development of civil aviation industry, the original manual inspection method of navaid lighting can not meet the requirements. It has become the basic requirement of the navaid lighting system to automatically monitor the navaid lighting equipment and improve the reliability of the navaid lighting system. The design and research of airfield navaid lighting monitoring system based on data mining algorithm is a project involving the design, development and implementation of airfield navaid lighting monitoring system. For the sake of safety, NAV light monitoring system will be designed to monitor all lights in the airport. It can also detect any abnormal light patterns or light pattern changes, which may indicate a possible problem with one or more navigation lights. This helps the airport authorities to take immediate action before any problem occurs with one or more navigation lights, thus preventing accidents. Design includes designing a software.

The design of the system is based on image recognition technology. The main function of the system is to identify the authenticity of Chinese paintings through image analysis. The system can be used for the authentication and identification of ancient paintings in museums, galleries or private collections. It will also help collectors obtain more information about their works by comparing them with other works at different times and places. The project is designed as a multi-layer method, using statistical pattern recognition, neural network, fuzzy logic and other methods to identify real Chinese paintings according to their images. The most common way to verify ancient Chinese paintings is to compare them with other similar works and then determine whether they are true. However, there are some problems in this traditional way: first, it is difficult to find similar works that have been lost over time; Secondly, due to changes in materials and technology, there may be some differences between the original and its copies. In order to solve these problems, we need a new authentication system based on image recognition technology, which can accurately identify the originality of artworks from images.

The design of medical examination instrument disinfection system is the most important. It is a process involving selection, formulation and implementation of plans to ensure that there is no pollution in the area where medical examination instruments are used. It must be able to keep the instrument clean, safe and hygienic, which can be achieved by implementing cleaning, disinfection and sterilization processes. The design should also conform to national standards. The design of medical inspection instrument disinfection system based on intelligent algorithm is the process of designing a disinfection system for medical inspection instruments. This is a very important task because it involves many factors, such as product specifications and characteristics required by customers. Type of disinfectant and its concentration, temperature, time, etc. Characteristics of the environment in which the product is used (such as room temperature and humidity). Cleaning frequency, water supply rate and other operating conditions.

With the development of modern network and the fast and convenient characteristics based on network, the construction of network education resources has become the focus of information construction in Colleges and universities. However, due to the lack of unified resource description standards and construction standards, most of the resource database construction is still in an isolated and decentralized state, and it is difficult to achieve sharing and reuse. Therefore, by deeply analyzing the metadata standard of educational resources, studying XML and its related technologies, the author has carried out the “design of English teaching resource management system based on collaborative recommendation”, which is a tool for managing English teacher resources. It can be used by teachers, students and school management departments. The main function of the software is to ensure that all resources are in place before the start of the course and to track their status after each course. Detrsc also allows teachers to create different types of reports according to their needs: from a simple list containing names and descriptions to more complex reports, such as activity reports or performance reports.

The design of financial modeling system is based on decision tree analysis. The main objective of this analysis is to determine the best portfolio of investors and choose the best investment strategy. The process includes determining which factors are important for making decisions about investment strategies, how investors should make these decisions, what criteria they should use to choose different investment strategies, and how they will ultimately apply the strategies they choose. It also helps them understand why some investments perform better than others, so it enables them to identify which factors contribute most to this performance. The decision-making process includes three steps: 1. Data analysis: this step involves collecting data from different sources, such as the company’s annual report or other documents, and then analyzing them using statistical techniques. 2. Decision making: according to the results obtained in step 1, you can take appropriate actions for next year’s performance through this method. 3. Implementation of decision making: at this stage, you must take appropriate measures (such as setting new strategies or changing existing strategies) to implement the decision.

With the development of economy and the strong support of governments at all levels for the in-depth integration of production, learning and research in Colleges and universities, the scientific research cooperation projects of colleges and universities show a sharp upward trend. In this case, the rapidly rising data brings great pressure on the processing efficiency of the scientific research management system of colleges and universities. The design of nursing training room information intelligent management system based on big data environment is to improve teaching efficiency by using modern technology and Informatics, such as artificial intelligence, machine learning, deep learning and other new technologies. The design also includes the improvement of the teaching content system. In this case, computer-based teaching materials are used. This will provide more effective content for students’ learning and make students’ learning process more convenient and efficient. By using different teaching methods at one time, or dividing them into several parts according to the level of students, so as to promote students’ understanding of knowledge.

Because the mental health level of Chinese adolescents is generally poor, it is necessary to design a mental health platform to help understand the mental health status of adolescents and provide decision support for psychological intervention. This paper mainly introduces the status quo of adolescent group psychology, and then carries on the platform design based on random forest algorithm. Through the research, this platform can analyze the mental health status of the adolescent group under the effect of random forest algorithm, and can play a role in the early warning and evaluation of the adolescent mental health intervention.

The research on the system design of tour guide course reform based on virtual simulation resources is a research on the effect and potential of traditional teaching methods reform in tour guide course. This study aims to understand how to improve students’ learning ability through the use of virtual simulation tools, which are widely used in educational institutions around the world. The key factors affecting students’ learning ability include: (1) their own level of understanding; (2) Its interest level; (3) Incentive level; (4) Their knowledge acquisition ability, etc.

Application of Bayesian network in higher vocational english practical ability test.Mining knowledge from massive data for decision support, analysis and prediction has become a new demand for information systems, but the technology of data processing and data extraction is scarce. Bayesian network, which originated from Bayesian statistics, represents the probability distribution and causal relationship of objects with its unique uncertain knowledge expression form, rich probability expression ability, incremental learning method of comprehensive prior knowledge and other characteristics. It has become one of the most eye-catching focuses of current data mining methods and an important knowledge discovery method in the field of knowledge discovery. This paper is based on the application of Bayesian network in Higher Vocational English practical ability test. Practical ability test is a part of foreign students’ English proficiency test. It aims to determine the level of English required by students to receive higher vocational education in China. The practical ability test consists of four parts: listening, speaking, reading and writing. Each part has three sub parts: listening comprehension (LC), oral comprehension (SC) and reading comprehension (RC).

English reading has always been a difficult problem for most Chinese Internet industry practitioners and professional students. Aiming at this problem, this paper explores how to use information technology to assist the majority of network technology practitioners and professional students to quickly and effectively improve their professional English reading ability, so that readers can easily and happily carry out reading training and gradually and solidly improve their professional English reading ability. Through the work of several stages such as demand analysis, algorithm research, system design and coding, the algorithm design and system architecture design are carried out around the three core problems of English new word statistics and analysis, intelligent collection of reading materials and the application of Ebbinghaus memory curve theory in English reading, and the web system is developed with the help of Ruby on rails development framework, With the help of mobile Internet and smart phone technology, we can improve the usability of web system and improve the reading efficiency of readers’ professional English.

Artificial intelligence is a rapidly developing technology. Many people are interested in using it for cultural heritage protection and utilization, but they lack knowledge of the development of artificial intelligence and its application in cultural heritage protection. The application ability of this technology in the protection and utilization of architectural cultural heritage has become an important topic for the future development of architecture, which needs further research. In this article, we introduced the concept of “development countermeasures”, which can help us better understand how artificial intelligence plays a role in the protection and utilization of architectural cultural heritage.

As the number of elderly population in China increases year by year, the population dependency ratio is also rising rapidly. More and more elderly people will go out of their homes and enter nursing homes to spend their old age safely. At the same time, the state and local governments have also issued policies and guidelines to accelerate the development of the cause of aging, and the nursing home, as the main part of institutional elderly care, will develop rapidly. With the expansion of the scale of nursing homes and the improvement of facilities, the management of nursing homes has become a bottleneck restricting their development. Sanatoriums have been using the Internet as a tool to improve services. This is because it has become an important part of modern society and can be used in many ways. The Internet is useful not only for enterprises, but also for those who are looking for health care information or other topics related to this field. It makes it possible for people to learn more about different types of health care facilities and how they work. By doing so, patients will be able to choose the facilities they want to go to and the treatment they need.

Intelligent building technology is a term used to describe the use of sensors and other technologies that allow remote monitoring and control of buildings. Intelligent building system is also known as smart home automation or smart home control. The goal of these systems is to provide automated solutions for controlling the lighting, heating, ventilation, safety and energy management of buildings. “Intelligent construction” is a new construction concept, which requires the development of the construction industry to take the road of low consumption, low pollution and sustainable development. At the same time, it can apply information technology to reform the traditional production mode of the construction industry. The core technology of “intelligent construction” concept is building information modeling (BIM). BIM Technology can change the phenomenon of low efficiency of information transmission and sharing among various departments and participants of engineering projects. It is the direct application of information means in the construction industry and the technical support for the construction industry to change the traditional construction concept.

It is an inevitable trend of modern education to improve students’ learning efficiency, promote the reform of students’ learning methods and develop their autonomous learning ability. With the development of Internet and web technology and the deepening of its application in education, the learner centered online learning model provides a broad development space for students’ autonomous learning, and has become an important way and development direction of modern education. This web-based English online learning system is a free and interactive English teaching tool, which provides learners with real-time opportunities to practice English. Learners can interact with native speakers of the target language through video and audio dialogues. The project, developed by the University of California, Berkeley, has been used by thousands of students around the world. Provide learners with a variety of real dialogues and activities aimed at teaching them how to use simple everyday expressions in dialogues. The software allows users to choose different types of courses: listening, reading or writing exercises.

With the deepening of artificial intelligence technology in people's life, English speech recognition, as an indispensable technical means, has become the focus of attention. In the past decades, the acoustic model combined with Gaussian mixed model hidden Markov model (gmm-hmm) has occupied a leading position in the field of English speech recognition technology. However, with the English speech data becoming more and more large and complex, the shortcomings of the traditional model are gradually revealed. English speech recognition based on deep machine learning algorithm is a branch of artificial intelligence, which mainly studies human English speech understanding. It uses pattern recognition, statistical modeling and computer vision to achieve this goal. Deep neural network (DNN) has been used as the basis of many other types of algorithms; English voice to text system, using DNN to convert spoken language into text; Automatic transcription system, using DNN to recognize English speech, and then convert it into text; Machine translation between different languages using DNN.

The scientific allocation of human resources to achieve the best match between people and things has always been an important goal pursued by human resources management. Big data is a mass of information that can be stored, analyzed and mined. It contains a lot of valuable information about business activities, and can provide in-depth understanding of user needs, user behavior trends and other relevant factors. The problem with this kind of data is that ordinary users cannot easily access it without special software or hardware. This makes it difficult to analyze for specific purposes, such as improving scheduling algorithms or optimizing human resource processes. However, some researchers have solved these problems, and they are developing solutions based on big data analysis technology to solve these problems.

In recent years, with the continuous expansion of college enrollment in China, more and more students have the opportunity to enter the university. However, due to the reform of the charging system in colleges and universities, the number of poor students in colleges and universities is increasing. In this worrying situation, our government and universities have taken a series of measures and made many achievements. In this study, we use the Apriori algorithm to extract evaluation data from poor college students’ compositions. The purpose of this study is to examine how poor college students’ writing performance is evaluated by taking their compositions as samples. We also investigated whether there were differences between male and female students in assessing their own performance. The results show that, compared with other college students, Apriori algorithm can effectively evaluate the paper quality of students whose academic ability is at least at the middle level. This is especially useful for papers with poor evaluation ability.

The concept of “College Students’ employability” has been put forward with the increasing attention of all sectors of society. In recent years, with the enrollment expansion of major colleges and universities year after year, the number of graduates has also increased year after year. Graduates can’t find jobs after graduation, but enterprises can’t recruit people under the banner of high salary. This is the so-called employment gap. Therefore, this paper studies the evaluation model of students’ employability based on fuzzy theory algorithm. Fuzzy theory is a model used to evaluate the performance of students’ employability. It was first proposed by m.s.guttman and r.l.schafer, who developed it as a tool to evaluate the effectiveness of training programs (Guttman and Schafer, 1969). The fuzzy evaluation model is based on two elements: “fuzzy set” and “fuzzy rule”. Fuzzy sets are represented by a mathematical function called membership function, which can be applied to any data set under some conditions; Fuzzy rules are logical expressions that represent the judgment of membership.

As a new composite structure, reinforced soil is widely used in highway, water transportation, water conservancy, railway and other industries, and has achieved a wide range of social, environmental and economic benefits. Based on the sequence reduction algorithm, the triaxial strength of reinforced soil in loess area is tested, and the effects of reinforcement ratio, reinforcement type and dosage, water content and temperature on triaxial strength are discussed. The results show that when the reinforcement ratio is 1:3.0, the total reinforcement is 0.8 tons / square meter, the water content is 0%, the temperature is 20 ℃, and when the reinforcement ratio is 1:4.5, the total reinforcement is equal to 2 tons, the maximum triaxial compressive strength is obtained.

Using the method of case analysis, this paper explores the training mode of entrepreneurial talents in five industries based on BP optimization. The purpose of this study is to explore the training mode of entrepreneurial talents through five industries based on BP optimization, and provide evidence for policy-making and education planning. In order to obtain data, researchers collected information from literature review, expert interviews and field observations. The results show that there are many factors affecting entrepreneurship, such as family background, education level, social environment, etc., but because different types of enterprise furniture have different characteristics, it is impossible to find any factors that equally affect all entrepreneurs.

The project of high-quality courses came into being under the background of the rapid increase in the number of students in Colleges and universities, the shortage of higher education resources and the need to improve the quality of higher education. Represented by national excellent courses, it is defined as a demonstration course with first-class teachers, first-class teaching contents, first-class teaching methods, first-class teaching materials and first-class teaching management. Excellent courses refer to excellent courses with characteristics and first-class teaching level. This course is the best course for you to learn big data algorithms. This course will help you understand and explore big data algorithms in detail. I think this is one of the best courses for those who want to learn big data algorithms. It teaches you how to build a good algorithm through a large number of examples and practical problems.

Enterprise financial evaluation refers to the evaluation and summary of the enterprise’s financial status, operating results and cash flow, so as to provide relevant financial information for the enterprise’s information users. The financial evaluation model based on data mining algorithm is a method to calculate the company value. The model is used to determine the value of the company and its shares. The valuation formula is based on the number of shares in circulation and their price per share. The model also considers other factors, such as dividends paid by the company, which will affect its overall value. In addition, it also considers the amount invested in the company through the purchase of shares or stock options given to employees and executives.

The research on Gynecological Nursing hidden dangers based on big data analysis is a research based on scientific methods. It can be defined as a process in which two or more researchers work together to collect and analyze a large amount of information from different sources, such as literature, databases, surveys, etc. This research is based on big data analysis. Researchers used a large number of medical records and analyzed them to find out whether there were any hidden dangers in nursing practice. Then, statistical methods will be used to analyze this information to draw conclusions that will help improve health care services. This study is based on whether there are hidden dangers in nursing practice based on big data analysis, which will help nurses understand their mistakes when practicing gynecology.

The intelligent evaluation of English language teaching effect is the only way to improve the training quality of normal education in the era of intelligent education. The explosion of data and the updating iteration of machine learning algorithm make it possible to evaluate, classify and visualize the data of English teachers’ teaching ability on a large scale. The intelligent evaluation of English teaching effect based on fuzzy inference algorithm is an intelligent system to evaluate the effectiveness of new methods or procedures. It will be used to measure the effectiveness of different methods and schemes to find out which one is more effective. The system can also be used to evaluate the effectiveness of individual teachers, courses, schools or institutions. Based on fuzzy logic technology, it can be applied to many fields such as education, medicine, engineering and so on.

With the development of science and technology, digital exhibition is widely used in art museums. Interactive media is favored by exhibition designers because of its unique nature. However, there are still some defects in the interactive media design of digital exhibition in Art Museum. There are also many researches on Interactive Media Design in the digital exhibition of art museum based on big data, but the actual results are poor. Starting from the characteristics of interactive media, this paper explores the digital exhibition mode in line with the art museum, studies its design method and process, and uses the collaborative filtering recommendation algorithm to recommend the exhibits of the digital exhibition of the art museum to visitors, so as to improve the experience of visitors participating in the exhibition of the art museum. The survey results show that the majority of visitors to the art museum are aged between 35 and 55, and there are more local visitors than foreign visitors. We hope to use big data technology to design a digital art museum exhibition with interactive media characteristics, so as to improve the public’s sense of visiting experience.

This paper mainly discusses the idea of building local cultural brand, and then puts forward the realization method based on the improved Apriori algorithm. Through research, the improved Apriori algorithm has more advantages than the classical algorithm, and can better fit the local cultural brand building ideas to provide suggestions to manual workers, so as to ensure the quality of shaping results.

Basic education is the foundation of education and the national quality education. Although China has achieved the grand goal of basically popularizing compulsory education, due to the unbalanced economic and social development, the gap between urban and rural areas, regions and schools in basic education still exists, and there is even an expanding trend in some places and in some aspects. The main reasons for this gap are uneven resource distribution and inefficient allocation. The mixed optimization strategy of resource allocation in higher education system is the combination of static optimization strategy and dynamic optimization strategy. It can be used to determine the best combination of resources (human and financial) in any given situation. The hybrid optimization strategy is used to find the optimal solution to maximize the total value and minimize the cost. The hybrid method consists of two main parts: the static part, which determines the optimal allocation of different types of resources; And a dynamic component that determines how these allocations change over time as new information becomes available.

Mobile e-commerce application is the next generation of mobile commerce, which will be a major trend in the future. Mobile e-commerce applications can buy anything from anywhere at any time. It enables users to shop online anytime, anywhere. This is achieved by using smartphones as payment systems rather than credit cards or cash. The main advantage of this technology is that it can be implemented on all types of devices, such as laptops, tablets, smartphones, etc., which means that there are no restrictions on where people can use mobile phones to shop. The arrival of 5g era has introduced new vitality to the growth of China's mobile e-commerce, but at the same time, it has not improved the existing Internet security problems, especially the large-scale coverage of wireless WiFi, which leads to the leakage and illegal use of personal information. Its scientific and technological innovation and service diversification will make the majority of users face more serious hidden dangers of Internet and personal information security. Therefore, in the 5g network environment, the future opportunities and challenges of China's mobile commerce coexist, and the research on mobile commerce information security becomes particularly important.

The purpose of this research is to design and develop a multi - target tracking system for football players. The main goal of the project is to track the physical fitness level, movement and performance of football players in real time during the game. This research will develop three different parameters on the KCF algorithm: 1) number of targets; 2) Speed; 3) The size (distance) of the target. This will help coaches, coaches and athletes to evaluate their performance in the competition by analyzing their sports patterns. This method can be used as an effective tool to evaluate players’ performance in real time by detecting and tracking different angles of motion. This method will be tested by using an experimental device consisting of two cameras placed in different positions in front of each player. The video clips captured by these cameras will be analyzed through a computer software application that can detect location, movement and physical condition.

In the process of traditional highway engineering project management, engineering cost, engineering progress and engineering quality are recognized as the three main control objectives of engineering construction, which is also the main research topic in the field of highway engineering. However, with the continuous improvement of engineering management system and requirements, the focus in this field is also expanding. Multi-objective optimization of highway engineering is a new research field. Ant colony optimization (ACO) algorithm has been widely used in the field of industrial production, but it has not been applied to road construction. This paper presents a multi-objective cost optimization method based on ant colony algorithm, and compares its performance with other methods. This paper also discusses the application scenario of ant colony algorithm in highway engineering.

Electrification not only promotes the rapid progress of productivity and human civilization, but also provides a greater possibility for the occurrence of fire. Electrical fire is mainly caused by abnormal high temperature caused by line overload, short circuit, poor contact, arc spark, electric leakage, lightning or static electricity, which leads to ignition of surrounding combustibles or spontaneous combustion of cables. At present, the detection of electrical fire is mainly through the detection of the surface temperature of various wires and cables and the detection based on the electromagnetic principle, which has the problems of high false alarm rate and difficult maintenance. Considering that most electrical fires are caused by abnormal high temperature of the line due to electrical faults, which makes the insulating layer self ignite or ignite the surrounding substances, while the insulating layer made of plastic or rubber has the characteristics of high-temperature thermal decomposition and will release specific gas when working above the rated temperature, this paper proposes the technical research of neural network on the electrical fire early warning system, The application research of neural network technology in electrical fire early warning system is the application research of artificial intelligence and machine learning technology in fire detection. Its main purpose is to use artificial intelligence to detect and predict the occurrence of building fire, and then provide an early warning means to prevent people from fire accidents.

This paper deeply studies some problems of highway traffic engineering system in China, including the composition and function of highway traffic engineering system, design method, construction and development direction, the setting principle of highway traffic engineering monitoring, toll collection and communication system, and the evaluation method of highway traffic engineering system. Dynamic programming algorithm is a method used to solve the minimum cost flow problem in the network. It has been applied to various problems in traffic engineering, such as determining the best path of vehicles and optimizing the road network. The dynamic programming algorithm solves the optimization problem by decomposing the optimization problem into smaller problems that are solved at the same time. This method reduces the computational complexity by allowing each subproblem to be solved independently, and then combining the results of multiple subproblems. In this way, it can find a solution quickly (as they originally need) compared with the computing resources required for all sub problems to be combined at the same time.

The construction of Higher Mathematics Network Course Based on Internet is a new teaching method. It was developed by educators and researchers in the past decade. They studied how people learn and create their own learning experience through computer technology. This approach supports students to actively participate in the learning process and allows them to work at home or wherever they want. The main advantage of this method is that it does not require students to use any special equipment, which allows everyone to use it without restrictions. The construction of higher mathematics online courses based on the Internet provides an interactive environment in which students can easily communicate with teachers and students. The main purpose of this research is to realize such a teaching design: the network teaching system can call the application on the Internet platform, and the data is still stored in the local server. According to the teaching requirements and teaching characteristics of the course of advanced mathematics, this paper constructs an online learning system. Based on Baihui Internet platform and API technology, Baihui writer, Baihui show and other Internet products are nested in the online learning system to improve the teaching quality.

With the rapid development of the world economy and the progress of modern science and technology, the logistics industry, as a new service industry in the national economy, is developing rapidly all over the world. Internationally, the logistics industry is considered as the artery and basic industry of national economic development. Its development level has become one of the important symbols of measuring a country's social and economic development level and comprehensive national strength, and is known as the “accelerator” to promote economic development. The optimization research of logistics industry organization management system in the digital intelligence era is a research field. Its main focus is to develop new technologies and find out how to implement new technologies. Research in this field requires an understanding of all aspects, including technical, social, economic, political and other related issues. It also requires an in-depth understanding of the current trend of technology development and its application to solve problems.

The research on Paperless circulation of enterprise management documents based on electronic signature technology aims to study the current trend and problems of paperless circulation of enterprise management documents, including the importance of electronic signature technology in Paperless circulation. It also studies various methods for the electronic circulation of commercial documents, such as electronic signatures, digital signatures and other related technologies. The research also focuses on how to apply these technologies to the paperless circulation of business management documents. Paperless circulation is a step towards the goal of completely eliminating paper from business management documents. Using electronic signature technology for document authentication and verification is a way for organizations to achieve this goal. Electronic signatures have not been widely accepted, but as a substitute for handwritten signatures, they are becoming more and more popular. Handwritten signatures are easy to be forged or changed.

With the development of information technology, the teaching management system of colleges and universities has undergone corresponding changes. In the practice of teaching management in Colleges and universities, a large number of elective courses are provided for students, and there are structural deficiencies and shortcomings in course categories and majors. For example, under the organization and management mode of the course resource center and most of the current course selection methods, it is difficult for students to choose suitable courses that meet personal professional development and personality needs. In view of this, we apply the personalized recommendation technology to the course selection system to provide students with reasonable, scientific and personalized course selection recommendations according to their learning needs and interest preferences. This is a research project aimed at developing a personalized course recommendation model for college environment design. The goal is to provide students with the best learning experience and an environment conducive to their academic success. So as to avoid the blindness of students’ course selection and improve the utilization rate of curriculum resources and the quality of course selection.

The purpose of this study is to recommend the literature resources of University Libraries Based on content filtering algorithm. This study uses a method that combines the concept of abstract content filtering with personalized recommendation. To achieve this goal, we use a database containing information about books and articles in various fields such as the humanities, social sciences and natural sciences. The main purpose of this study is to understand whether the use of abstract content filters can improve the recommendation quality of different types of users, especially those who are interested in certain topics or have specific needs. In order to achieve these goals, we used two methods: one is based on comparing the results obtained from the two.

As a hot topic in the field of research and application in recent years, cloud computing is considered by most IT enterprises and industry insiders as the core architecture of the next generation computer network application technology. Pharmacology database and analysis (PDAC) is a web-based application that allows users to access the latest pharmacology information of more than 6000 drugs. The database contains drug profiles, including chemical structure, molecular weight, molecular formula, CAS registration number and other relevant data. Users can also search for drugs by name or drug action category. In addition, users can perform various analyses by themselves or in collaboration with others using the powerful tools of PDAC.

In the long-term engineering practice, various engineering related units have accumulated a large number of project cost example data, because there is no appropriate application technology, the data can not be used directly and effectively. The project cost has always been calculated according to the quota calculated by the national statistics, and there are often very big differences in the budget. Therefore, the main objective of this paper is to apply the optimal control method to power optimization by using an extended version of the classical model. The method is divided into two steps: first, we propose a new method to calculate power consumption; Second, we take it as the input of adjusting control parameters. To this end, we use a new model, which includes electrical and mechanical components. In addition, it enables us to estimate the electrical and mechanical losses due to its different mechanisms with high accuracy.

Photovoltaic power generation is affected by complex and changeable weather conditions, which has the characteristics of volatility and intermittence, resulting in difficulties in photovoltaic grid connection. In order to ensure the stable operation of power system after large-scale photovoltaic grid connection, it is necessary to accurately predict the photovoltaic power in advance. Different weather conditions will lead to great differences in the irradiance actually received by photovoltaic arrays, so a single prediction model is not enough to cope with the prediction of photovoltaic power generation under various complex weather changes. The precision of photovoltaic data clustering is not the key to improve the precision of photovoltaic data classification. To solve the above problems, this paper proposes a matrix algorithm based on solar photovoltaic power prediction.

The value prediction and analysis of network documents based on ant colony algorithm is a technology to determine the value of a book, including its marketability. This technology uses an algorithm based on ant colony theory. It is used to predict the value of books according to their marketability. The main idea behind this method is to use ants to simulate human beings and their behavior towards objects or other things they are interested in. Ants are famous for their frugality in choosing objects that are more suitable for them than other objects, so we can say that they are good at making them to solve many problems, such as predicting the value of network literature, finding the best path from one node to another, or predicting which node to choose for a task. The main concept behind the algorithm is that it uses ants to find out how and where they can get food and water. Ants can do this because they have wisdom that other animals and creatures do not have. This means that ants can quickly learn methods that are useful to them and use their knowledge accordingly.

The development of general aviation industry is the need of economic and social development, and helps to develop the whole high-tech industry and enhance national defense strength. The purpose of this study is to predict the development prospect of general aviation industry in Hainan free trade port based on BP neural network optimization model. The data used in this study are from the following sources: (1) the general aviation industry development prospect survey conducted by the China Bureau of statistics; (2) A database containing information on assets owned by general aviation and its foreign investors in China; (3) An online database containing airport information in China. The prediction method used is BP neural network optimization model. After applying this method, we get a score value according to the specific characteristics of each airport (such as location, size).

Uav structure high quality leads to unmanned aerial vehicle (uav) flight flexibility and controllability is reduced, the structure quality is too low will lead to uav cannot against external force such as high altitude wind, also affect the actual operation, so in order to find the uav structure mass balance, this paper will be based on the fuzzy clustering algorithm, regression coefficient of the quality of the structure were studied. This paper introduces the basic concept of fuzzy clustering algorithm, and then discusses the analysis scheme of UAV structure quality regression coefficient. Finally, a UAV structure is taken as an example, and the analysis is carried out by fuzzy clustering algorithm according to the scheme. The results show that the UAV structure quality is good, and the analysis result is accurate. It shows that fuzzy clustering algorithm can be used as a tool to analyze the quality regression coefficient of UAV structure and has good application value.

With the national attention to health and the public attention to their own health, fitness exercise has become one of the most concerned issues. As the future and hope of the country, teenagers’ physical health is not optimistic at present. How to improve teenagers’ interest in fitness exercise and provide complete and effective fitness exercise theory for teenagers’ fitness exercise should become the focus of our attention. The health recommendation method and system for children and adolescents based on ant colony algorithm is a new method to improve the health level of the body. In this case, it is a computer program that uses ants as a model. The main idea behind this method is that there are many methods to find the best solution to any problem, but in order to know which method is the most effective, we need some standard or rule (in our example: ant colony algorithm).

A PGS-AMPS-AM (Attapulgite clay, 2-acrylamide-2-methyl propane sulfonic acid and acrylamide) hydrogel was produced by free radical crosslinking copolymerization. The cationic dye Malachite Green adsorption capacities of the hydrogel in waste water was investigated. The result shows that PGS-AMPS-AM hydrogel can be used as a superior absorbent for waste water treatment and the maxmium adsorption capacity could reach as high as 3632 mg/g.

The study is based on physiological signals of sleep. The main purpose of this study is to determine the impact of emotion on sleep by analyzing physiological signals during sleep. For example, you can determine whether there are any differences in heart rate and breathing patterns between people who have good night rest and those who do not. It can also determine whether the emotions that occur before bedtime affect our sleep conditions, or whether they cause us to wake up more frequently at night. This study involves using EEG to collect data from participants, analyze the impact of emotional state on sleep quality, and investigate whether anyone’s sleep quality can be predicted by his or her own emotional state. In addition, we will try to find out how different emotions affect a person and what their impact on sleep is.

The purpose of this study is to study the application of automatic abstract extraction of Chinese literature based on text ranking algorithm in feature resource construction. The objective of this project is to provide a system for automatically extracting general features from Chinese literary works as an effective method for constructing feature resources. A large amount of data has been collected from the Internet, including novels, short stories, essays and other texts. Based on these data, we developed a new method to automatically extract general features using text ranking algorithm and machine learning technology. Research paper on Automatic Abstract extraction based on text ranking algorithm in feature resource construction. It is an important part of Chinese Literature Automatic Abstract extraction system, which can be used for automatic extraction and classification of Chinese Literature Feature resources. This paper mainly introduces the characteristics of the new method and presents some application examples.

Ring oscillator is an important structure of digital clock chip, the speed, area, power consumption of ring oscillator determines the performance of digital clock chip. This article focuses on the optimization design of the ring oscillator in a digital clock chip.First of all, in this paper, the oscillation frequency model of the toroidal oscillator delay is obtained, and the relationship between the output frequency and the capacitor charge and discharge time is obtained, and the magnitude of the output frequency of the inverter under different parameters is determined. Then, a one-target optimization model based on adaptive learning step search is established, and the optimal gate length and gate width and the optimal number of inverters are discussed with the lowest possible power consumption.

The risk assessment model of accounting resource sharing management based on genetic algorithm is a method to identify the risk factors related to processes and products. It is an analytical tool that helps to determine the level of risk factors for a product or service. This method also helps to determine the key points and measures for product or service improvement. The main purpose of this method is to reduce the risks associated with the production process by using the right resources at the right time. In order to achieve this goal, it involves various steps, such as data collection, determination of key performance indicators (KPIs) and calculation of probability distribution function. Although risk management has been a part of strategic management accounting, expanding risk management into a strategic management function of management accounting may better reflect the characteristics of management accounting in this era, so that enterprises can not only adapt to the changing economic environment, but also carry out scientific and accurate prediction, decision-making, planning and control from a strategic perspective, So as to lay the foundation for the long-term development of enterprises and the promotion of core competitiveness.

With the wide application of steel structure products, it is urgent for steel structure enterprises to improve the utilization rate of raw materials. In this paper, the application of rectangular steel blanking and layout is the background, focusing on the formulation of steel cutting scheme under different demands. By establishing the model and solving the model, the optimal plan of cutting steel is obtained, so as to save raw materials, reduce product costs and improve the economic benefits of enterprises.

With the end of the 12th Five Year Plan and the beginning of the 13th five year plan, China’s economic development has entered a new normal, and the quality of higher education has faced new challenges. Teaching is still the core task of higher education. The key to improving the teaching quality of colleges and universities is to promote the reform of sustainable development. Nowadays, in order to improve the teaching quality in Colleges and universities, especially the newly-built undergraduate colleges and universities seek the dislocation development with the established public colleges and universities, and actively seek transformation development and reform. The research on the teaching effect evaluation system of computer-aided practical design course is a new way to evaluate the quality of teachers. It can be used to evaluate the effectiveness and efficiency of instructors in training courses using computer-assisted instruction (CAI) technology. The research purposes are as follows: 1) to explore the role of computer-assisted instruction in improving students’ academic performance; 2) Determine whether Cai improves students’ learning motivation, learning attitude, achievement and education satisfaction; 3) Analyze how Cai affects students’ academic performance, including knowledge acquisition ability, problem-solving ability and critical thinking ability.

The purpose of this paper is to establish a framework for teaching evaluation in colleges and universities by using decision trees and related rules, to study the relationship among educational factors, educational chain factors and educational effects, and to provide a decision framework for teaching evaluation. The study will take into full account many aspects that affect the quality of teaching, which is the combination of subjective factors (such as status, academic experience, age, gender, teaching methods and resources) and objective factors (such as type of course, course series, number of students, total hours per week), and make a comprehensive analysis of the relevant factors.

The research on teaching reform of new media data analysis course based on OBE concept is a research project. It is conducted by the computer science teaching and learning research center of the school of information technology, Nanyang Technological University (NTU), Singapore. This study aims to study the effectiveness of using real-time online collaborative learning environment (OBL) as a teaching tool to teach students how to analyze data collected from social networking sites such as Facebook and twitter. The main purpose is to evaluate the impact of this method on students’ performance, because they can learn how to conduct effective analysis. Researchers will be able to understand the teaching methods and practices that effectively improve students’ learning results by analyzing their experience of using OBE based teaching methods. This study will also provide a theoretical framework for future research related to OBE based teaching methods. The main purpose of this study is to study how teachers use OBE (observation, brainstorming, evaluation) as a teaching tool.

Based on the stock trading data of new energy industry in China’s Shanghai and Shenzhen A-share markets from 1999 to 2021, this paper compares and analyzes the application of Fama-French five factor model and three factor model in the prediction of excess return. The research finds that: (1) Fama-French five factor model is effective in China’s new energy industry market, and the five factor model is better than the three factor model in predicting the average rate of return of China’s new energy industry; (2) The average abnormal return rate of Chinese new energy industry stocks can be explained by market factor, market value factor, profitability factor and investment level factor. The book to market ratio factor is a "redundant factor"; (3) In contrast, market effect and scale effect are the leading factors affecting the stock return of China’s new energy industry, and the effects of profitability and investment level are relatively limited.

The rapid development and universal application of information technology have achieved the improvement of the quality of special education teaching. The application of information technology also provides a new learning method for special students, and provides a relatively unique auxiliary function for special education schools to carry out personalized auxiliary teaching. The research on the application level of educational school informatization based on FCM clustering algorithm is the application research of educational school informatization based on FCM clustering algorithm. This study focuses on applying this method to different types of applications. The main purpose of this study is to study how to apply it to different fields and how to use it according to the needs of different users. Therefore, this research will help those who are interested in using it for their own purposes, or who want to know more about its advantages and disadvantages, so that they can choose the most suitable one for themselves.

The application of computer technology in art creation is a research field that pays attention to the application of computer in art. It is used to produce works of art such as music, visual arts and movies. Like all research fields, it has its own history and development. In 1956, John McCarthy coined the term “artificial intelligence” at Stanford University; However, it was not until 1959 that alanturing proposed the famous Turing test of machine intelligence (Turing 1960). The computer provides a new technical means for the development of traditional art, expands the field of art design, facilitates art design methods, improves work efficiency, and enriches art creation.

The main purpose of this study is to understand the role of EDI in international trade and its integration with the Internet. It will also study security issues related to these two technologies and their impact on economic development. It also has many branches, including chambers of Commerce, trade associations and professional organizations. To promote trade between Member States and the rest of the world through electronic means such as electronic data exchange or Internet-based trading systems. This paper summarizes the existing literature on this subject and discusses some key issues related to it, such as: (1) how to use EDI to protect data flow; (2) How to design security network; (3) What are the risks involved in using these technologies? This study aims to contribute to a better understanding of these important issues by proposing an analysis based on theoretical findings.

From the practical perspective of ink animation art, this paper aims to study the specific ways of artificial intelligence technology to intervene in the field of ink animation creation. Through the function introduction, model optimization and parameter adjustment of the image style migration algorithm, the creation idea of the animation image style migration for the light dormitory ink effect was explored, and we conducted detailed experiments. The verification results show that the method proposed in this paper can effectively meet the creation needs of ink animation, and provide technical support and thinking innovation for the ink animation creation in the era of artificial intelligence.

Computer education resource platform based on personalized recommendation algorithm, which is a network-based platform, allows users to create, share and access educational resources, such as videos, podcasts, books and so on. It is designed to improve the learning effect by providing personalized suggestions according to users’ interests. Educational resources can be recommended according to users’ needs and preferences. It uses machine learning algorithms to analyze user behavior and preferences, and also provides various tools to help teachers and students create their own content and share it with others. Then recommend relevant educational resources for them. The algorithm also allows users to rate the recommended content to improve its quality.

The research on the construction of Shaanxi intangible cultural heritage translation platform based on the Internet is a research project combining basic research and applied research. It is to establish a database of intangible cultural heritage resources and related information, so that users can search for information in the database. The project team will also provide services, such as searching information about intangible cultural heritage resources, consulting experts and researchers, and providing suggestions on how to protect these resources. This study aims to explore new ways of translating Shaanxi intangible cultural heritage, and provide information support for local governments, scholars, researchers and other parties concerned about the protection of Shaanxi intangible cultural heritage. This study aims to provide an effective method for Internet technology research, analysis, evaluation and promotion of intangible cultural heritage protection in Shaanxi. It is also an important part of the intangible cultural heritage protection mechanism.

With the continuous increase of people’s work pressure, the requirements for mental health recognition are also higher and higher. There are various forms of mental health, and the traditional mental health evaluation mode relying on experts has certain subjective deviation. Therefore, this paper proposes a recognition model based on facial, speech and gait behavior characteristics to realize intelligent recognition of mental health status, so as to reduce the impact of subjective factors on the recognition results. The design of automatic evaluation model of College Students’ mental health. The purpose of this study is to design an automatic evaluation system, which can evaluate the mental health of college students in a simple and easy way through their writing performance. In order to achieve this goal, we adopted two methods: (1) according to the concept that each writer has his own style and personal characteristics, we compiled a self-assessment questionnaire; (2) This study uses the data collected in previous studies on writers’ styles and personality characteristics.

This study aims to design a new teaching system for College Chinese. The main goal is to develop a module based teaching system, which can be used in distance education with multimedia environment. Methods and tools are mainly based on cognitive science, human-computer interaction and communication theory. Use multimedia teaching materials to provide effective learning experience, facilitate students to master the basic knowledge of Chinese, enhance students’ enthusiasm through interactive activities, improve students’ oral level through audio-visual demonstration, and use advanced technology to improve students’ fluency. The purpose of this study is to design a college Chinese module teaching system based on Multimedia environment. The main objective is to design a modular teaching system of College Chinese that can be used in a multimedia environment, and to investigate and evaluate the effectiveness of different learning strategies such as self-study, cooperative learning, computer tutoring, etc. Investigate and evaluate the effectiveness of different types of learning materials (such as audio-visual materials, reading materials, writing materials, etc.). Analyze students’ grades by using various evaluation methods.

The development of human resource management based on BP neural network algorithm is a new type of artificial intelligence. This technology has the characteristics of “learning” and “adaptive”. Learning ability can be learned from real-time data, and adaptability can adapt to different situations. In addition, it is easy to use and maintain, which makes it suitable for large-scale applications. The main purpose of this study is to find out how to use effective and efficient BP neural network algorithm in the field of HRM. Many studies have been carried out to understand what types of problems BP neural network can solve and how it can help improve the performance and efficiency of different aspects related to HRM.

This paper first analyzes the problems and challenges faced by commercial banks under the background of big data technology, then makes a model test on the role of big data in promoting the development of commercial banks, and finally puts forward several suggestions for promoting the development of big data technology applications in commercial banks.

With the continuous development and progress of society, computer technology is more and more widely used in basic education. Computer technology provides good conditions for teaching reform. It mobilizes the enthusiasm of teachers and students, organically combines the knowledge and interest of classroom teaching, and is conducive to the cultivation of students’ ability and the realization of autonomous learning. The inevitability of the application of computer technology in vocal music teaching is a problem raised by many people. The answer is very simple and clear. Whether professional singers or amateur singers, this will be an indispensable part of music education. The reason why this question is raised is that there are several factors that make the use of computers in vocal music teaching inevitable; In fact, singing is not a natural skill; It requires training and practice to develop good technical and performance skills. In order to achieve these goals, one must first obtain high-quality teaching materials.

The law of international trade promotion based on growth curve algorithm is a new concept of the law of international trade promotion. The main purpose of this study is to find out how much the international trade promotion law has affected the promotion of natural resource poverty and developing countries, and whether it can be used as an effective tool for economic development. The study was conducted using data from different sources such as the World Bank Database and UNCTAD database. The research is based on the growth curve algorithm, which is a mathematical model used to analyze economic development. The main purpose of this algorithm is to predict the future development of economy. It can be used for forecasting and analysis in different fields, such as economics, finance, engineering and many other fields. It has been successfully applied in various applications, including stock market forecasting and financial planning. This method can also be used to predict future trends in the economy or business sector without collecting any data.

The main idea of this paper is to explore the training path of management accounting talents under the background of great wisdom moving to the cloud. The author thinks that: 1) management accounting is an important profession in modern society. It is not easy for people without accounting ability to become managers; 2) Great wisdom is one of the main requirements for becoming a manager, but it is also difficult for anyone who is not good at thinking; Therefore, we can only rely on cloud computing technology and big data analysis technology to improve our thinking ability. The training of management accounting talents is a key factor for the development of enterprises. The purpose of this study is to understand whether the talent training path has been improved and whether it can be used as an effective method to improve the quality of management accountants. In this article, we will first introduce some background information of management accounting, and then introduce our methods and results.

“Internet+” is widely used in today’s society. Simply speaking, it refers to the introduction of Internet technology into the traditional industrial structure by using the current information and communication technology and the major platforms of the Internet, so as to guide the development of the traditional industry into a new era. The characteristics of the “Internet+” era include online information, precise consumption and digital management. In the era of “Internet+”, the discussion on the mutual integration of the tourism industry should clearly analyze why the tourism industry can develop with the Internet technology under the background of this era, and why the Internet technology can vigorously promote the reform of the tourism industry. Suggestions for promoting the integration of tourism industry are as follows: promulgate relevant policies and measures, improve the level of tourism informatization, strengthen the establishment of relevant laws and regulations, protect consumers’ personal privacy, develop tourism education, and cultivate compound tourism talents.

The investment estimation of urban rail transit project is an important basis for investment decision-making of urban rail transit project construction. Accurate and rapid engineering investment estimation directly determines the correctness of investment decision-making. At the same time, it is also a decisive factor for the success of cost control in the later stage of the project. The traffic engineering investment estimation method based on genetic algorithm is a technology that can be used to estimate the traffic engineering investment cost. It is an evolutionary computation (EC), which uses the principle of evolution, also known as natural selection. In this method, the initial population of candidate solutions is generated by randomly selecting individuals from a set of possible solutions. This process will continue until all individuals are selected or there are no more candidates in the solution space. Then, the remaining populations will undergo a selection process to eliminate solutions that do not meet certain survival criteria.

University laboratories are not only the place for teaching and scientific research, but also the cradle of talent training. The state attaches great importance to the construction of university laboratories and laboratory safety management. In the document of higher education teaching reform project, the state clearly proposed to establish a number of demonstrative and influential teaching and research bases and a number of demonstration centers competent for basic courses, including the vigorous construction and transformation of teaching and research laboratories in Colleges and universities. The research on university laboratory safety education system based on big data technology is a scientific research aimed at investigating the effectiveness of university laboratory safety education system based on big data technology. The researcher from China conducted the study with a team of researchers from Canada, Australia and other countries. This study aims to understand the effectiveness of university laboratory safety education system based on big data technology in preventing laboratory accidents. The study also hopes to find out whether there are any problems and concerns in the use of such systems.

The focus of this research is to develop a new technology based on OLAP and SVM algorithm to evaluate the quality of university teaching. The main goal of this study is to find the best technology to measure the quality of teaching. This study will use descriptive statistics, correlation coefficient, regression analysis and cluster analysis and other data analysis techniques. The final results will be used to develop an effective evaluation system, which can measure the effectiveness of University Teachers’ contributions to students’ learning. In the research, we try to use OLAP and SVM algorithms to improve the quality of teaching evaluation. First, we used a large number of student data from different universities in China. We collect data from more than 20 universities every semester. Then, we build a large OLAP database based on this data set (about 1million records), which can be used as the input of SVM algorithm. Next, we designed three types of artificial neural network (ANN) models based on previous research. This method can be used for both undergraduate and graduate students. The results of this study will help universities evaluate their teaching quality, which will enable them to improve their teaching quality.

With the rapid development of modern society, people demand higher and higher performance of various products, there are many quality problems in the process of practical application. Therefore, in order to improve user experience and improve this situation this paper proposes a video quality diagnosis system based on convolutional neural network. The design includes various construction methods, several main framework structures and related databases. This paper takes the video quality during video conferencing as the research object, hopes to build a video quality diagnosis system using the theory of convolutional neural network.

Interior home design provides people with specific design ideas for better home design, but it is often inconsistent with the actual effect because the home design is not realistic enough. How to make better indoor home effect and reduce the deviation between home design and actual design has become a topic of great research significance. Virtual reality interior home design is a technology that uses computer animation to simulate the appearance and feeling of the real world environment using three-dimensional graphics. It allows you to experience the virtual world through the computer screen, which can be viewed on any modern flat-panel display (such as TV or monitor). Users wear special helmets with lenses to display images in front of their eyes. They can move in these virtual worlds as in the real world.

Art design is the link between life and art. We communicate countless information through vision every day. From ordinary traffic lights to all kinds of information we see are received through vision. It can be said that our life cannot be separated from visual communication design. The study of visual communication in new media art design is based on the analysis of various art works created by new media. The main focus is on the creation and presentation of images. In addition, other aspects such as color, texture and shape are also analyzed. In order to better understand this theme, it is necessary to have a deeper understanding of art history. This will help us understand how artists use color in their works and how they present color by selecting shapes or textures.

The quality of water conservancy project is related to the investment benefit, social benefit, environmental benefit and the safety of people's life and property. It directly affects the development of national economy and social stability. It is the key to the success or failure of project construction. In the construction supervision of water conservancy project, the project quality control is the core content of its work. It is not only the most important basis and standard to reflect the quality of supervision service, but also the basic requirement of the owner for supervision. Aiming at the construction of local water conservancy projects, this paper puts forward the necessity of developing the quality control information management system software of water conservancy project construction supervision. In the management of engineering construction quality evaluation, the fuzzy decision-making technology is applied to the comprehensive evaluation of engineering quality. Combined with the supervision practice, the evaluation grade is analyzed, and the four-level evaluation standard is established. Starting from the quality evaluation of the bottom unit project, the comprehensive evaluation of the engineering project is completed layer by layer through subdivisional works, divisional works and unit works.

As the core technology of information security, the teaching of cryptography is paid more attention. Many schools have proposed a ' school - enterprise cooperation to build laboratories ' program. The main function of school-enterprise joint laboratory is to provide students with complete equipment and training environment. But for colleges and universities, how to match the most suitable company cooperation between schools and enterprises become the biggest problem, then establish a school-enterprise cooperation selection mechanism is very necessary. In this paper, the decision tree is used to simply screen all enterprises, and then the analytic hierarchy process is used to solve the weight from the arithmetic average method, the set average method and the eigenvalue method respectively. The final index weight is obtained by averaging the weight obtained by the three methods. Finally, the fuzzy comprehensive evaluation method is used to establish the selection mechanism of school enterprise cooperation. Through the case analysis of six enterprises in Hainan University, it is proved that the evaluation mechanism is effective, so as to provide objective standards for universities to select partners and jointly establish password laboratories. Keywords: First Keyword, Second Keyword, Third Keyword.

University-enterprise joint cryptographic laboratory is an important measure to promote Hainan University to build a first-class university. We have the following three selection mechanisms to promote it after talking about. It is mainly realized in the following three directions: first, enterprises send people to teach technology, and enterprises can obtain talents in a directional manner. Second, different enterprises bid, guided by the technical problems of enterprises, to promote the growth of students' technical ability, corresponding to the graduation preferential treatment of enterprises. Third, the competition within the school to promote the growth and progress of students' technology. Keywords: First Keyword, Second Keyword, Third Keyword.

With the development of modernization, intelligence, and networking of enterprises, large-scale enterprises continue to emerge, and collaboration and communication between employees within an enterprise are increasingly important. It is time-consuming and labor-intensive, which directly leads to low work efficiency and efficiency. The current popular instant messaging technology provides a solution for this demand, and information and notifications can be released quickly and easily. A large number of instant messaging systems on the market can meet the basic needs of enterprises, but it is difficult to guarantee commercial security and low latency requirements. Therefore, it is necessary to develop an instant messaging system that meets the requirements of enterprises.This article intends to analyze a set of instant messaging systems based on Go language according to actual needs. As a new language, the Go language has some features that many traditional programming languages do not have. It can make full use of the kernel of the device and make the system performance more stable and fast. Based on the above analysis, this paper uses the Go language to design a user instant messaging system.

As a new technology applied in computers, blockchain can encrypt computing, store data, transfer and consensus mechanism. Blockchain is a technology underlying Bitcoin with high security performance. The key of blockchain technology is to prevent the database information from being modified and destroyed. This technology can be divided into two types, mainly block and chain structure, which can reduce the probability of information theft or modification in the database and monitor the emergence of new blocks. Blockchain has a good effect in decentralizing the system, data traceability and tamper-proof, while the IoT is a platform for sharing resources and exchanging information between objects, and the value of data on it is constantly mined and revealed. Recently, a number of studies have explored the use of blockchain in the IoT. Under the background of blockchain, IoT technology and AI technology show an unstoppable development trend.First, the basic concepts of blockchain technology are introduced, and secondly, based on the discussion of blockchain technology in the context of blockchain, the IoT is centered on the characteristics of IoT technology and the core of blockchain technology. Communication between the analysis of the problem of the network. Finally, the function of the blockchain is explained from the background of the blockchain. With regard to AI technology, the opportunities and challenges brought about by the integrated application of IoT and AI technologies and new technologies will be elaborated. At this stage, the combination of blockchain technology and the IoT has achieved initial results, showing its application and research value, but its further expansion still needs to rely on mutual integration with new research technologies.

Multimedia technology is the product of the new era and has been applied in various fields. Its appearance has brought a lot of convenience to our life, especially in education. Therefore, giving full play to the advantages of computer multimedia technology and improving the teaching quality of multimedia combined with dance has become an important measure of the development of The Times. This paper expounds the inevitability of the deep integration of computer multimedia technology and dance teaching in colleges and universities, and makes use of modern teaching media and network education resources to let teachers and students jointly participate in dance teaching practice.The integration of dance teaching and the application of multimedia technology in Chinese colleges and universities are analyzed: the construction of cross-space resource sharing platform; The organic combination of traditional and modern multimedia teaching; And the teacher-led teaching mode of dance situation. This paper discusses the problems existing in the effective integration of the two, and tries to put forward effective teaching strategies: using multimedia technology to construct standardized dance textbooks; Integrating dance course resources in colleges and universities with network information; The development of wechat mini program online dance teaching platform. Aiming at the limitations and constraints of the inherent conditions of traditional dance teaching in colleges and universities, the teaching methods are constantly improved, so that college dance teaching must adapt to the requirements of the new era after class.

The underwater acoustic channel has the characteristics of broadcasting, and the frequent occurrence of various uncertain factors, which makes the underwater acoustic channel face many security threats. For this problem, starting from improving the security performance of the key, a strong security key agreement scheme based on the underwater acoustic channel is proposed. First, the Hash function is used to authenticate the identity of the legal node, and then, after the authentication is successful, the measured values of the two communicating parties are authenticated are obtained by error correcting coding, and the interleaving technology is used to eliminate the redundancy of the measured values and realize the safe transmission of the key in the open channel. Theoretical and experimental results show that the scheme can effectively reduce the bit error rate of the key, and can pass the eight tests of the NIST randomness test. Compared with existing scheme, the proposed method has significant advantages in terms of key security and robustness.

Effective generation of adversarial examples can help to improve the training of neural models to avoid adversarial example attacks. Watermark-based adversarial example generation methods regard watermark as a meaningful noise to perturb the neural models. Therefore, the resulting adversarial examples are more similar to the original images yet more difficult to defend. Existing Watermark-based adversarial example generation methods adopt the visible watermarking technology. This however may reduce the success rate of the attacks because the adversarial examples with visible watermarks can be easily perceptible by humans. To address this issue, we propose a novel approach to generate adversarial examples based on the combination of frequency domain and color space perturbation. In particular, we use wavelet transform to hide the watermark, making it invisible and introducing noises to the frequency of the images. We then select the Lab color space Similarity as an optimization scheme for perturbations control. Experimental results show that under the same dataset, the maximum attack success rate of the adversarial example generated by our algorithm can reach 98.56%. In addition, the generated adversarial examples are highly portable, the successful attacks on VGG, Resnet101, and Inception-v3 can reach more than 95%, and the color space perturbation optimization achieves an average RGB channel similarity of 97.22%.

In the traditional judicial system, the public security, procuratorate, court and judicial bureau all involve private information, so the data current and sharing of each department will be greatly restricted. To solve these problems, a blockchain-based public security, procuratorial, and judicial evidence storage system is designed, which can, to a certain extent, solve the morass of data sharing among various departments of the judicial system, and can ensure the privacy of data. The proposed scheme uses the chain structure of the permissioned chain FISCO BCOS as the blockchain platform and combines the Merkle tree and hash function to access data. The structural storage of data can ensure that the uploaded data is traceable and without being tampered with. The public security, judicial and judicial evidence storage system designed with blockchain technology can realize database sharing among various departments of public security, procuratorate, court, and judicial bureau, eliminate the risk of leakage and tampering in the process of case evidence flow, and protect citizens' privacy and national information safety.

In the 6G environment, society and information and communication technology are more and more closely combined. With the continuous improvement of communication rate, many data security problems will arise. Risk prevention will also be a focus of 6G technology that cannot be ignored.Blockchain technology takes cryptography as the carrier, and the underlying supporting technology lays the foundation for 6G network. In the 6G era, blockchain will have more room for development. With the rapid development of information technology and the wide application of Internet technology, the accelerated development of global economic integration, and the increasingly frequent communication between countries, human society has entered a new historical period - the information age. In this process, the phenomenon of information leakage is becoming more and more serious.Blockchain has the characteristics of decentralization, transparency and inviolability, and many technical improvements will provide a strong security guarantee for 6G. The latest development of 6G is described in detail, and the key performance of 6G and blockchain is discussed. Deeply analyze the technical basis of 6G blockchain, make a preliminary study on the application of blockchain technology in 6G, introduce blockchain related technologies, introduce the application of blockchain technology in spectrum management, analyze the challenges faced by the application of blockchain technology in 6G, and look forward to the future development prospects.

Deep neural network is sensitive to adversarial samples that crafted by adding imperceptible perturbations to original images, and many methods of generating adversarial samples have emerged. Although existing methods based on gradient direction have good attack performance, some ill-conditioned issues may reduce their performance on occasion. In this paper, we propose a novel attack method based on three-terms conjugate gradient direction, which is effectively for improving this limitation, and its is named as fast conjugate gradient sign method (FCGSM). The proposed method FCGSM can jump from the local maximum during the process of finding the maximum value of loss function, thus generating more adversarial samples than the SOTA methods APGD and ACG. Experiments conducted on two benchmark datasets show that the FCGSM works well in attacking deep neural network-based classification models.

Fast and accurate detection and identification of small airborne targets are of great importance, to security in the air. Unmanned aerial vehicle detection algorithms are mostly deployed on edge devices, and a yolov5-based aerial target lightweight detector is proposed by compressing channels and network cropping for the limited resource characteristics on edge devices. Firstly, the shallow cross-stage partial module is extended and optimized when designing the feature ex-traction network to maximize the use of shallow features. Secondly, the network is cropped to reduce the number of down-sampling, which makes the computation faster. Finally, the pyramid network used for feature fusion is simplified by modifying from two upsampling operations and two downsampling operations to only one upsampling operation. On the homemade dataset, the proposed Yolo-mini achieves 94.44% mean average accuracy on the test set and the Giga floating-point operations per second of the model is only 3.2, which achieves a better balance of accuracy and computation compared to other lightweight algorithms.

With the rise of health awareness, people's demand for fitness has gradually increased. However, improper exercise may easily cause damage to the body. It would be possible to avoid wrong actions if automatic action recognition can detect and judge the human motion of exercises. Therefore, we aim to grasp the user's fitness status through human action recognition. However, most human action recognition mostly uses CNN-based models to process images, which may introduce unnecessary noise other than the human body from the background. To address this problem, we use the Spatio-Temporal Graph Convolutional Network (ST-GCN) as the backbone and take skeleton data as input to learn skeleton relationships. To further improve the accuracy, we propose a novel partition strategy based on Five Primary Kinetic Chains (5PKC) to explore the skeleton partition status and then enrich the skeleton relationships. Finally, the proposed method with 9 ST-GCN blocks that integrated the proposed partition strategy achieved 99.5% of accuracy which outperforms the model using 9 ST-GCN blocks with 84.5%.

Children’s motor coordination is an important component of physical fitness test for young children. The development of children’s motor coordination occurs throughout children’s motor development, and it is not only limited by the maturity of children’s neurodevelopment, but also plays an important role in promoting children’s neurodevelopment. This study proposes an automatic assessment method based on deep learning to improve assessment efficiency and reduce costs. The method combines human posture estimation, similarity calculation and time series feature extraction for the assessment of children’s movements. The results showed that the accuracy rate and redundancy rate of the fine action coin toss keyframes finding algorithm are 89.8% and 7.5%; the accuracy rate of the dynamic action standing long jump keyframes finding algorithm is 74.3%; the accuracy rate, precision rate and recall rate of the fine action coin toss assessment algorithm are 74.4%, 72.5% and 90.0%; the accuracy rate, precision rate and recall rate of the static action single-leg balance assessment algorithm are 87.1%, 73.5% and 87.1%; the accuracy rate, precision rate and recall rate of the dynamic action standing long jump assessment algorithm are 71.6%, 73.5% and 71.4%; the results of the three actions generally matched the expert assessment results. The method provides a good auxiliary tool for determining the motor development level of young children, and provides a good technical support for achieving the goal of “promoting the early comprehensive development of young children through actions”.

Factories overlooking the need to check personal protective equipment (PPE) before workers enter risk areas is a factor contributing to injuries. To assist in resolving such issues, we are investigating and designing a safety management system (SMS) using artificial intelligence (AI) camera technology to detect PPE devices with a You Only Look Once (Yolo) deep learning algorithm. The technology checks and displays real-time operator PPE equipment inspections. The AI camera system tabulates and processes data from the extant database for accurate detection. The camera can detect and notify about the following PPE devices: reflective clothing, helmets, safety goggles, and safety gloves. A warning will be displayed on the screen when PPE devices are not worn to check that each worker is wearing the correct PPE devices before entering risk areas. The model AI camera system can also operate in conjunction with automatic doors to prevent entry to a risk area and has been designed for use in industrial plant or job site safety management. Additionally, tests have shown that using this equipment increases the incidence of wearing PPE on entry to risk areas.

In the new era, women are becoming more colorful in society and at home as women pursue equal rights and status with men and pay more and more attention to unique styles and attractions, a sign of self-awareness that has taken a step further in women’s social history development. The report shows the diversity and progress of women’s images in the 17th and 18th centuries, focusing on the female stories of Korean writer Yoo Mong-in’s “Eouyadam” and Chinese writer Pu Song-ling’s “Yojaejii”.

With the recent development of IoT technology, farmers can enjoy convenient and practical lives with smart farms created by combining agriculture and IoT technology. In this paper, we introduce the characteristics of plants and explain the direction of Beacon devices and smart devices through AAP. When managing smart farm moisture using a hygrometer, it is useful for promoting plant growth as well as saving water.

The purpose of this paper was to study the contents of the work theory of the famous Korean ancient female writer Henan Seol-heon. When introducing classical works or classical poets to modern people, they are looking for content such as more fun and easier to receive, and storytelling. When referring to the keywords of classical literature and female poets, the name Henan Seol-heon appears a lot. It needs to know the works of female poets who have a great position in classical literature. During the Joseon Dynasty, when Heo Nan-seol-heon lived, most of the creators of literary works were male writers, claiming Confucian ideas. Due to Confucianism, women of that era were restricted in various fields such as status, recognition, freedom, and study. In this paper, we investigate the contents using the current works of Heo Nan-seol-heon and investigate the big direction of how to promote Heo Nan-seol-heon and how to proceed with the contents. In this era, almost everything is related to the database, but classical works seem to be difficult to relate to the database. In addition, it seems that to achieve this, we must support technology on many levels.